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Fix model card metadata

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  1. README.md +76 -6
README.md CHANGED
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  # TinyE5-L6-384
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  **TinyE5-L6-384** is a compact **384-dimensional text embedding model** built from
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  ## Docker Example
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- ```
 
 
 
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  services:
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  embedding-server:
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  image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.9
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  - ./data:/data
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  command:
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  - --model-id
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- - GrowBitLabs/TinyE5-L6-384-INT8
 
 
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  - --pooling
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  - mean
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  ```
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- ### variants:
 
 
 
 
 
 
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  ```
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- GrowBitLabs/TinyE5-L6-384
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- GrowBitLabs/TinyE5-L6-384-ONNX
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- GrowBitLabs/TinyE5-L6-384-INT8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  ## Attribution
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  Developed by **[GrowBit Labs](https://growbitlabs.com)**.
 
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ library_name: transformers
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+ pipeline_tag: feature-extraction
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+ base_model: sentence-transformers/all-MiniLM-L6-v2
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+ tags:
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+ - sentence-transformers
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+ - embeddings
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+ - text-embeddings
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+ - semantic-search
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+ - information-retrieval
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+ - onnx
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+ - int8
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+ - minilm
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+ - e5
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+ ---
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+
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  # TinyE5-L6-384
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  **TinyE5-L6-384** is a compact **384-dimensional text embedding model** built from
 
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  ## Docker Example
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+
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+ ### INT8 ONNX
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+
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+ ```yaml
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  services:
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  embedding-server:
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  image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.9
 
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  - ./data:/data
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  command:
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  - --model-id
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+ - rizwan3d/tinye5
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+ - --revision
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+ - int8-onnx
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  - --pooling
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  - mean
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  ```
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+
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+ ### Available Variants
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+
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+ All variants are published under the same Hugging Face repository:
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+
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+ ```text
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+ rizwan3d/tinye5
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  ```
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+
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+ | Variant | Revision | Model |
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+ | ---------------- | ----------- | ------------------- |
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+ | Safetensors FP32 | `main` | `model.safetensors` |
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+ | ONNX FP32 | `fp32-onnx` | `onnx/model.onnx` |
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+ | ONNX INT8 | `int8-onnx` | `onnx/model.onnx` |
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+
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+ ### Safetensors
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+
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+ ```yaml
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+ command:
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+ - --model-id
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+ - rizwan3d/tinye5
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+ - --revision
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+ - main
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+ - --pooling
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+ - mean
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+ ```
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+
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+ ### FP32 ONNX
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+
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+ ```yaml
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+ command:
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+ - --model-id
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+ - rizwan3d/tinye5
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+ - --revision
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+ - fp32-onnx
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+ - --pooling
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+ - mean
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  ```
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+ ### INT8 ONNX
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+
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+ ```yaml
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+ command:
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+ - --model-id
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+ - rizwan3d/tinye5
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+ - --revision
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+ - int8-onnx
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+ - --pooling
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+ - mean
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+ ```
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+
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+ For CPU deployment, the **INT8 ONNX** revision is recommended when model size and inference throughput are the priority.
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+
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  ## Attribution
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  Developed by **[GrowBit Labs](https://growbitlabs.com)**.